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Akademický článek

HRP-OG: Online Learning with Generative Feature Replay for Hypertension Risk Prediction in a Nonstationary Environment

Autor: Shaofu Lin, Haokang Yan, Shiwei Zhou, Ziqian Qiao, Jianhui Chen

Publikováno v: Sensors, Vol 24, Iss 15, p 5033 (2024)

Hypertension is a major risk factor for many serious diseases. With the aging population and lifestyle changes, the incidence of hypertension continues to rise, imposing a significant medical cost burden on patients and severely affecting their quali

Externí odkaz: https://doaj.org/article/100b96eec97647d7a8bad81c439edbbe

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Akademický článek

HRP-OG: Online Learning with Generative Feature Replay for Hypertension Risk Prediction in a Nonstationary Environment.

Autor: Lin, Shaofu¹ (AUTHOR) linshaofu@bjut.edu.cn, Yan, Haokang¹ (AUTHOR) yhk-yhk@emails.bjut.edu.cn, Zhou, Shiwei¹ (AUTHOR) 1766485082@emails.bjut.edu.cn, Qiao, Ziqian¹ (AUTHOR), Chen, Jianhui^1,2,3,4,5 (AUTHOR) yhk-yhk@emails.bjut.edu.cn

Publikováno v: Sensors (14248220). Aug2024, Vol. 24 Issue 15, p5033. 18p.

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Periodical

Beijing University of Technology Researcher Describes Findings in Hypertension (HRP-OG: Online Learning with Generative Feature Replay for Hypertension Risk Prediction in a Nonstationary Environment).

Publikováno v: Cardiovascular Week; 8/19/2024, p177-177, 1p

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